Detection of Malnutrition in Patients Undergoing Maintenance Haemodialysis: A Quantitative Data Analysis on 12 Parameters

Nafzger, Sonja; Fleury, Lea-Angelica; Uehlinger, Dominik E.; Plüss, Petra; Scura, Ninetta; Kurmann, Silvia

doi:10.1111/jorc.12125

Cited by 7 publications

(11 citation statements)

References 31 publications

(26 reference statements)

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“…These three objective parameters are based on monthly laboratory and BCM analysis and consequently cost‐effective and easy to carry out. As mentioned before, serum albumin and nPCR continue to be valid parameters for the assessment of PEW in HD patients . We chose to add BCMI to this tool, as it represents body composition, one of the parameters recommended to assess PEW and, due to its susceptibility to harmful circumstances, such as inadequate nutrients intake or inflammation, it has been considered an adequate nutritional status marker by several authors …”

Section: Discussionmentioning

confidence: 99%

“…As mentioned before, serum albumin and nPCR continue to be valid parameters for the assessment of PEW in HD patients. 25 We chose to add BCMI to this tool, as it represents body composition, one of the parameters recommended to assess PEW and, due to its susceptibility to harmful circumstances, such as inadequate nutrients intake or inflammation, it has been considered an adequate nutritional status marker by several authors. 16,21,22,26 Only 10% and 3% of our study participants were malnourished in the G A and G B , respectively.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating haemodialysis patient's nutritional status: Body mass index or body cell mass index?

Valente¹,

Caetano²,

Oliveira³

et al. 2019

Nephrology

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Objective Evaluate which of two combinations of parameters based on International Society of Renal Nutrition and Metabolism recommendations could better identify patients with protein‐energy wasting (PEW) and to compare the relationship of these two combinations with other clinical and body composition parameters. Methods This was a multicentre longitudinal study with 24 months of follow‐up. The PEW patients were characterized by: Group A (GA) – normalized protein catabolic rate (nPCR) < 1.0 g/kg per day, albumin <3.8 g/dL and body cell mass index (BCMI) < 6.4 kg/m2 (n = 203); Group B (GB) – nPCR <1.0 g/kg per day, albumin <3.8 g/dL and body mass index (BMI) <23 kg/m2 (n = 109). All the patients who did not meet these requirements were considered “well‐nourished” (GA: n = 1818; GB: n = 3292). Results When compared to the well‐nourished patients, PEW patients in the GA presented higher age, Kt/V, C‐reactive protein, relative overhydration, fat tissue index (FTI); lower creatinine, albumin, nPCR, PTH, haemoglobin, phosphorus, calcium X phosphorus product, potassium, dry weight, BMI, BCMI, lean tissue index, %IDWG . In the GB, well‐nourished patients FTI was significantly higher. In Cox analysis, the combination with BCMI was a strong independent predictor of mortality in these patients (hazard ratio: 1.48; confidence interval: 1.00–2.19; P = 0.048), even after adjustment. Although GB combination seemed to be also a predictor of death (hazard ratio: 2.67; confidence interval: 1.92–3.71; P < 0.001), when adjusted, the association remained no longer significant. Conclusion A new combination of parameters including protein intake, albumin and BCMI demonstrated significant associations with other nutrition and inflammation parameters as well as with mortality.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Evaluating haemodialysis patient's nutritional status: Body mass index or body cell mass index?

Valente¹,

Caetano²,

Oliveira³

et al. 2019

Nephrology

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“…Whereas patients who have advanced CKD are challenged by the need to change their established dietary habits, clinical management also poses problems. Due to poor appetite and metabolic disturbance, especially in end‐stage kidney disease (ESKD) , patients are at high risk of protein–energy malnutrition and require close monitoring of nutritional status. As with all dietary assessment approaches, investigating adherence to renal‐nutrition regimens is problematic and becomes more complicated where patients have poor understanding of their condition or low literacy .…”

Section: Requirements Intake and Malnutritionmentioning

confidence: 99%

“…Malnutrition is strongly associated with greater mortality risk. A number of approaches may be taken to monitoring malnutrition in this patient group, ranging from as simple as following appetite to using indices that encompass serum albumin, mid‐upper arm muscle area, skinfold thicknesses, protein catabolic rate , inflammatory markers and indices of muscle strength (pinch grip or hand grip) .…”

Section: Requirements Intake and Malnutritionmentioning

confidence: 99%

The challenge of nutritional management in people with kidney disease

Langley‐Evans

Thomas

2017

J Human Nutrition Diet

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“…Age, education, occupation, marital status and economic status of the women significantly regulate the risk of malnutrition. While age and malnutrition were directly related, education and malnutrition maintained an inverse relationship in females of 15-49 years of age [4,25]. PEM prevalence has been on the high side in the developing countries and can be passed from one generation to the next (World Bank, 2006).…”

Section: Introductionmentioning

confidence: 99%

Assessing Factors Contributing to the Prevalence of Protein–Energy Malnutrition Among Children Under Five Years of Age Attending Kigoma District Hospital, Tanzania

Eze¹

2018

JFNS

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Protein-energy malnutrition (PEM) is a form of malnutrition that is common in children under 5 years of age in the developing countries and even the developed countries. Young children are the most vulnerable to the vicious cycles of malnutrition, infection and disability, all of which influence the present condition of a child and the future human resource development of the nation as a whole. The prevalence of PEM in the children under five years of age has been shown not to witness a great improvement in Tanzania. It even increased in some districts including Kigoma District. Thus, this research was designed to assess the factors contributing to the high prevalence of PEM in children under 5 years of age in Kigoma District Hospital of Tanzania. This study was a cross-sectional study that involved randomly selected 100 women, who had children under 5 years of age. The women and their children were assessed for their nutritional status and the factors that affect the nutritional status. The results showed a high prevalence of PEM in the children under 5 years of age as shown by the clinical symptoms such as poor weight gain, slowed linear growth, behavioral changes, anemia, muscle wasting, peripheral edema, glossitis, cheilosis, sparse hair and nail spooning. The poor socioeconomic status that might have resulted from poverty was also indicated. The high prevalence of PEM in Kigoma District could be due to infections and low educational status of the mother resulting in poor nutritional status of their children.

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Detection of Malnutrition in Patients Undergoing Maintenance Haemodialysis: A Quantitative Data Analysis on 12 Parameters

Abstract: We now screen patients biannually for serum albumin, nPCR, Kt/V, handgrip measurement of the shunt-free arm, dry body weight, age and time since initiation of MHD.

Cited by 7 publications

References 31 publications

Evaluating haemodialysis patient's nutritional status: Body mass index or body cell mass index?

Evaluating haemodialysis patient's nutritional status: Body mass index or body cell mass index?

The challenge of nutritional management in people with kidney disease

Assessing Factors Contributing to the Prevalence of Protein–Energy Malnutrition Among Children Under Five Years of Age Attending Kigoma District Hospital, Tanzania

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